Our People

Leadership and Innovation

Dr. Ismail Kucukdurgut

Dr. Ismail Kucukdurgut

Founder & CEO

Dr. Ismail Kucukdurgut holds a Ph.D. in Intelligent Systems and Artificial Intelligence and has hands-on experience delivering Azure-based AI, SharePoint, and conversational solutions. His work spans intelligent automation, AI-driven CMS, and enterprise integrations, with a mission to make advanced AI practical and accessible for organizations of all sizes.

Achievements & Expertise
  • Ph.D. in Intelligent Systems (Computational Intelligence & Granular Computing)
  • Microsoft-centric stack: Azure AI, .NET/Blazor, and SharePoint
  • Builder of conversational platforms and AI-powered CMS
  • Advocate for responsible, human-centered AI

"The future is conversational. At OrkinosAI, we empower businesses to harness AI for growth and transformation."

Dr. Evtim Peytchev

Dr. Evtim Peytchev

Director of Research and Development

Dr. Evtim Peytchev is an Associate Professor in the School of Science & Technology at Nottingham Trent University (NTU), specializing in Computer Science. He brings extensive academic and research expertise in wireless and mobile communications, intelligent transport systems, and advanced networking technologies to lead OrkinosAI's research and development initiatives.

Dr. Peytchev served as PhD supervisor to OrkinosAI's Founder & CEO, Dr. Ismail Kucukdurgut, providing mentorship and guidance in the field of Intelligent Systems and Artificial Intelligence.

Academic & Research Excellence
  • Associate Professor at Nottingham Trent University (NTU)
  • PhD in Computing and Technology, MSc in Computer Science
  • Member of the Intelligent Simulation, Modelling and Networking Research Group (ISMN)
  • Expert in traffic simulation, mobile ad-hoc networks (MANETs), and wireless communications
  • Published extensively on intelligent transport systems and mobile networking
  • International impact: Research adopted by Sofia Municipality, Coventry Traffic Management, and transport systems across Europe
Research Focus Areas
  • Traffic simulation and modelling with real-time predictions
  • Mobile ad-hoc networks for urban and motorway traffic systems
  • Ad-hoc network architecture for intelligent mobile nodes
  • Mobile TCP/IP stack development and location-dependent services
  • Car-to-car communication technologies and energy efficiency systems

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